Yu Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 31

Top Venues

ISBI

Medical Image Anal.

IEEE Trans. Biomed. Eng.

MICCAI (3)

University of Georgia, Athens, GA, USA (PHD)

Education History

University of Georgia, Athens, GA, USA

PHD

Publications

Xi Jiang, Jiadong Yan, Yu Zhao, Mingxin Jiang, Yuzhong Chen, Jingchao Zhou, Zhenxiang Xiao, Zifan Wang, Rong Zhang, Benjamin Becker, Dajiang Zhu, Keith M. Kendrick, Tianming Liu
Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs). Neural Networks 158 (2023)
Yu Zhao, Ke Zeng, Yiyuan Zhao, Parmeet S. Bhatia, Mahesh Ranganath, Muhammed Labeeb Kozhikkavil, Chen Li, Gerardo Hermosillo
Deep learning solution for medical image localization and orientation detection. Medical Image Anal. 81 (2022)
Jiadong Yan, Yu Zhao, Mingxin Jiang, Shu Zhang, Tuo Zhang, Shimin Yang, Yuzhong Chen, Zhongbo Zhao, Zhibin He, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang
A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks. PRCV (3) (2021)
Jiadong Yan, Yuzhong Chen, Shimin Yang, Shu Zhang, Mingxin Jiang, Zhongbo Zhao, Tuo Zhang, Yu Zhao, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks. MICCAI (7) (2021)
Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12 (3) (2020)
Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10 (2) (2020)
Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67 (6) (2020)
Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu
Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Trans. Biomed. Eng. 66 (5) (2019)
Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI (2019)
Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. 66 (1) (2019)
Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu
Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. ISBI (2019)
Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics. Neurocomputing 325 (2019)
Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu
Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 65 (9) (2018)
Wei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu
Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding. ISBI (2018)
Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu
Modeling Task fMRI Data Via Deep Convolutional Autoencoder. IEEE Trans. Medical Imaging 37 (7) (2018)
Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). CoRR (2018)
Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks. MICCAI (1) (2018)
Yu Zhao, Fangfei Ge, Shu Zhang, Tianming Liu
3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls. MICCAI (3) (2018)
Yu Zhao, Fangfei Ge, Tianming Liu
Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization. Medical Image Anal. 47 (2018)
Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu
Modeling task fMRI data via mixture of deep expert networks. ISBI (2018)
Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage 180 (Part) (2018)
Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). MICCAI (3) (2018)
Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics. CoRR (2017)
Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder. Medical Image Anal. 42 (2017)
Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu
3-D functional brain network classification using Convolutional Neural Networks. ISBI (2017)
Hanbo Chen, Yu Zhao, Yujie Li, Jinglei Lv, Tianming Liu
Inter-subject fMRI registration based on functional networks. ISBI (2017)
Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu
Modeling Task fMRI Data via Deep Convolutional Autoencoder. IPMI (2017)
Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu
A novel framework for groupwise registration of fMRI images based on common functional networks. ISBI (2017)
Mir Jalil Razavi, Tuo Zhang, Hanbo Chen, Yujie Li, Simon Platt, Yu Zhao, Lei Guo, Xiaoping Hu, Xianqiao Wang, Tianming Liu
Radial Structure Scaffolds Convolution Patterns of Developing Cerebral Cortex. Frontiers Comput. Neurosci. 11 (2017)
Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu
Template-guided Functional Network Identification via Supervised Dictionary Learning. ISBI (2017)
Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu
Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. 38 (2017)
Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao, Bao Ge, Lei Guo, Tianming Liu
Supervised Dictionary Learning for Inferring Concurrent Brain Networks. IEEE Trans. Medical Imaging 34 (10) (2015)
Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu
HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI). Brain Informatics 2 (4) (2015)
Hanbo Chen, Tao Liu, Yu Zhao, Tuo Zhang, Yujie Li, Meng Li, Hongmiao Zhang, Hui Kuang, Lei Guo, Joe Z. Tsien, Tianming Liu
Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data. NeuroImage 115 (2015)
Hanbo Chen, Yu Zhao, Tuo Zhang, Hongmiao Zhang, Hui Kuang, Meng Li, Joe Z. Tsien, Tianming Liu
Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data. MICCAI (3) (2014)

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Publication Activity (10 Years)

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Yu Zhao